Client
A dedicated Telecom provider dedicated to extraordinary customer service, with branch locations in the US, Canada, Australia, and the UK.
Business Challenge
- Ensuring scalability to handle growing user base and message volume effectively.
- Maintaining reliability by minimizing message failures and ensuring consistent delivery.
- Optimizing performance to deliver SMS messages with low latency and efficient queue handling.
- Controlling operational costs by reducing retries, optimizing resource usage, and managing infrastructure expenses.
Approach
- Migrated on-prem customers to AWS EC2 using Python/Perl scripts, moving data from Cassandra DB to Aurora DB.
- Enabled secure authentication and data storage using AWS Cognito and encryption logic.
- Achieved scalability through AWS Auto Scaling to handle growing traffic and demand.
- Utilized SMPP protocol for efficient message delivery.
- Implemented AWS IAM roles and policies with least privilege principles for controlled access.
- Secured the environment with AWS Network ACLs and Security Groups to prevent unauthorized access.
- Applied data encryption best practices (SSE-S3) and used AWS KMS to manage encryption keys.
- Enforced Multi-Factor Authentication (MFA) for secure access, especially for administrative tasks.
- Set up custom CloudWatch metrics to monitor data ingestion, job progress, and performance.
- Documented operational tasks and troubleshooting steps in production runbooks shared with the monitoring team.
Technology Components
Transformational Effects
- Cut operational costs by 40% with AWS Lambda for serverless processing.
- Improved performance by migrating data to Amazon Aurora.
- Automated infrastructure deployment with AWS CodePipeline and Terraform.
- Secured user authentication with Amazon Cognito for scalable access management.
